Evidence map›Paper›PMID 35223928›Full record

ArticleFrontiers in medicine2022

Comparison of Volumetric Quantitative PET Parameters Before and After a CT-Based Elastic Deformation on Dual-Time 18FDG-PET/CT Images: A Feasibility Study in a Perspective of Radiotherapy Planning in Head and Neck Cancer.

Meriem Maajem, Jean-Christophe Leclère, David Bourhis, Valentin Tissot, Nicolas Icard, Laëtitia Arnaud, Romain Le Pennec, Gurvan Dissaux, Dorothy M Gujral, Pierre-Yves Salaün and 2 more

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Article in Frontiers in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 4 institutions in 2 countries.

Meriem MaajemDepartment of Nuclear Medicine, Brest University Hospital, Brest, France.
Jean-Christophe LeclèreDepartment of Oto-Rhino-Laryngology, Brest University Hospital, Brest, France.
David BourhisDepartment of Nuclear Medicine, Brest University Hospital, Brest, France.
Valentin TissotDepartment of Radiology, Brest University Hospital, Brest, France.
Nicolas IcardDepartment of Nuclear Medicine, Saint-Brieuc Regional Hospital, Saint-Brieuc, France.
Laëtitia ArnaudDepartment of Nuclear Medicine, Saint-Brieuc Regional Hospital, Saint-Brieuc, France.
Romain Le PennecDepartment of Nuclear Medicine, Brest University Hospital, Brest, France.
Gurvan DissauxDepartment of Radiotherapy, Brest University Hospital, Brest, France.
Dorothy M GujralClinical Oncology Department, Imperial College Healthcare National Health Service (NHS) Trust, Charing Cross Hospital, London, United Kingdom.
Pierre-Yves SalaünDepartment of Nuclear Medicine, Brest University Hospital, Brest, France.
Ulrike SchickDepartment of Radiotherapy, Brest University Hospital, Brest, France.
Ronan AbgralDepartment of Nuclear Medicine, Brest University Hospital, Brest, France.
Centre Hospitalier Régional Universitaire de Brest · FRCentre Hospitalier de Saint-Brieuc · FRUniversité Européenne de Bretagne · FRImperial College Healthcare NHS Trust · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe use of 18FDG-PET/CT for delineating a gross tumor volume (GTV, also called MTV metabolic tumor volume) in radiotherapy (RT) planning of head neck squamous cell carcinomas (HNSCC) is not included in current recommendations, although its interest for the radiotherapist is of evidence. Because pre-RT PET scans are rarely done simultaneously with dosimetry CT, the validation of a robust image registration tool and of a reproducible MTV delineation method is still required.

objectiveOur objective was to study a CT-based elastic registration method on dual-time pre-RT 18FDG-PET/CT images to assess the feasibility of PET-based RT planning in patients with HNSCC.

methodsDual-time 18FDG-PET/CT [whole-body examination (wbPET) + 1 dedicated step (headPET)] were selected to simulate a 2-times scenario of pre-RT PET images deformation on dosimetry CT. ER-headPET and RR-headPET images were, respectively, reconstructed after CT-to-CT rigid (RR) and elastic (ER) registrations of the headPET on the wbPET. The MTVs delineation was performed using two methods (40%SUVmax, PET-Edge). The percentage variations of several PET parameters (SUVmax, SUVmean, SUVpeak, MTV, TLG) were calculated between wbPET, ER-headPET, and RR-headPET. Correlation between MTV values was calculated (Deming linear regression). MTVs intersections were assessed by two indices (OF, DICE) and compared together (Wilcoxon test). Additional per-volume analysis was evaluated (Mann-Whitney test). Inter- and intra-observer reproducibilities were evaluated (ICC = intra-class coefficient).

results36 patients (30M/6F; median age = 65 y) were retrospectively included. The changes in SUVmax, SUVmean and SUVpeak values between ER-headPET and RR-headPET images were <5%. The variations in MTV values between ER-headPET and wbPET images were -6 and -3% with 40%SUVmax and PET Edge, respectively. Their correlations were excellent whatever the delineation method (R

conclusionOur study demonstrated no significant changes in MTV after an elastic deformation of pre-RT 18FDG-PET/CT images acquired in dual-time mode. This opens possibilities for HNSCC radiotherapy planning improvement by transferring GTV-PET on dosimetry CT.

Indexed as

dual time 18FDG-PET/CT imageselastic registrationgradient based methodhead neck cancerradiotherapy planning

Identifiers

PMID35223928
PMCPMC8873113
OpenAlexW4211127868

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.